This paper evaluates the speculative efficiency of the parimutuel gamb
ling market for greyhound racing. The efficiency tests consider the in
formational content of better handicapping data as well as the forecas
ts of professional handicappers and the aggregate market. Previous stu
dies have failed to consider the wide range of performance data that a
re available for better handicapping activities. Two tests of efficien
cy are considered. The first test evaluates the in-sample explanatory
power of the handicapper's forecasts and handicapping data relative to
the aggregate market's forecasts, as indicated by the final odds. The
second test compares simulated rates of return to hypothetical gambli
ng obtained from ex ante finish forecasts to the efficient rates of re
turn that are dictated by the track's commission. Significant speculat
ive inefficiencies are revealed. The second test suggests the existenc
e of above-normal returns to gambling from using conditional forecasts
generated from better handicapping data.